Allocation Data Scientist

New Age Products is undergoing an exciting transformation with the formation of our integrated demand planning and allocation team. Reporting to the Senior Business Analyst, the Allocation Data Scientist will be responsible for maintaining and improving our automated inventory allocation engine; and help lead cross-functional analyses and reporting related to inventory allocation. You will always have interesting new problems to apply your skillset while also becoming an expert on areas of inventory management and demand planning. Successful candidates will have extensive backgrounds in quantitative fields and significant experience in development and maintenance of business algorithms and logic relevant for an inventory allocation function in an E-commerce setting, preferably in python & SQL. This is a complete WFH opportunity working on the Canadian & USA markets. As such, the working hours preferably are evening shifts.

Role & responsibilities

• Responsible for maintaining the current Inventory allocation algorithms and developing new algorithms based on the business requirements.
• Collaborate with cross-functional teams like demand planning, order fulfillment and digital integration teams in assimilating requirements and owning end to end data driven projects.
• Develop and maintain data models and visualizations to support data-driven decision making.
• Ensure data accuracy, completeness, and consistency through regular data quality checks and cleansing.
• Process a large amount of data and do deep dives to understand certain trends/patterns, carry out correlation analysis to identify causes and relatedness.
• Demonstrate high technical appetite and functional experience in building algorithm and logics for inventory allocation function.
• Inform, influence, support, and execute key decisions and launches.
• Stay up to date with industry trends and best practices in data analysis and process mining.
• Easily understands business problems and translates them into analytical requirements and tasks.

Preferred candidate profile

• 3+ years of relevant work experience as a Data Scientist; ideally in a retail / e-commerce setting.
• Understanding of SAP systems and basic supply chain & order processing principles with respect to inventory management.
• Strong experience in Python and SQL & excel is a must.
• Possess experience of conducting UAT on enhancement; can provide QA support and guidance to team members for algorithms and related development projects.
• Experience working on data integration projects, collaborating with development teams and executing UATs of the developments.
• Demonstrated experience writing complex SQL queries and python scripts to extract and integrate data from multiple database sources.
• Experience of using data visualization tools like Excel, Power BI, and Tableau is an asset.
• Understanding of order flow from cart to fulfillment is desirable.
• Excellent with communications and stakeholder engagement.
• Thorough knowledge of quantitative data analysis, report writing, and presenting findings.
• Utilize analytical skills to collect, organize, analyze, and disseminate large amounts of data with accuracy.
• Proven ability to connect with internal stakeholders and excel in a fast-paced environment.

Candidate should have below requirements at their home for WFH

• Steady broadband or cable Internet
• Appropriate working desk for Work from home